Bhargav
Bhimavaram, Andhra Pradesh, India
Experience: 1 years
Open to: Fractional, Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: AWS, Azure, C, CPP, Docker, GCP, Git, Jira, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MongoDB, MSSQL, MySQL, NumPy, pandas, Power BI, PowerShell, Problem Solving, Python, Python3, PyTorch, R, scikit-learn, Selenium, Tableau, TensorFlow
Previously worked at: India-based Companies, IT Service Companies, Startups
Assessment Score: 80
- Experience Overview: A Machine Learning Intern with hands-on experience in implementing machine learning models, AI-driven solutions, and deep learning techniques, with internships at Vaultedge and The Web Blinders, where contributions led to significant improvements in model performance, operational efficiency, and client satisfaction.
- Professional Background: Developed machine learning models for real-world business applications, including table extraction and cancelled cheque detection, achieving 95% and 98% accuracy, respectively. Contributed to a 20% revenue growth by optimizing predictive algorithms and leading AI/ML projects that enhanced client satisfaction and reduced manual effort.
- Technical Skills: Proficient in programming languages such as Python and C++, with expertise in machine learning and AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled in data processing tools like NumPy, Pandas, MySQL, and MongoDB, and experienced with cloud platforms including AWS, GCP, and Azure.
- Education: Pursuing a Bachelor of Technology in Computer Science and Business Systems (CSBS) at Sagi Rama Krishnam Raju Engineering College, with a strong academic record and a CGPA of 8.80. Completed additional certifications in Data Science and AWS Cloud Foundations.
- Projects & Contributions: Successfully developed and deployed several AI-driven projects, including a Custom Q&A Chatbot, Airline Sentiment Analysis, and Early Fire Detection Alarm. Demonstrated expertise in integrating NLP, deep learning, and computer vision to solve real-world problems, improving accuracy and operational efficiency.
- Certifications & Skills Development: Completed professional certifications in Data Science and AWS Cloud Foundations. Demonstrated proficiency in MLOps, machine learning model deployment, and web development, showcasing an ability to contribute to both technical and business aspects of AI projects.